Correlation Between Catalystmillburn and Catalystcifc Floating
Can any of the company-specific risk be diversified away by investing in both Catalystmillburn and Catalystcifc Floating at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Catalystmillburn and Catalystcifc Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Catalystmillburn Hedge Strategy and Catalystcifc Floating Rate, you can compare the effects of market volatilities on Catalystmillburn and Catalystcifc Floating and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Catalystmillburn with a short position of Catalystcifc Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Catalystmillburn and Catalystcifc Floating.
Diversification Opportunities for Catalystmillburn and Catalystcifc Floating
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Catalystmillburn and Catalystcifc is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Catalystmillburn Hedge Strateg and Catalystcifc Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalystcifc Floating and Catalystmillburn is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Catalystmillburn Hedge Strategy are associated (or correlated) with Catalystcifc Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalystcifc Floating has no effect on the direction of Catalystmillburn i.e., Catalystmillburn and Catalystcifc Floating go up and down completely randomly.
Pair Corralation between Catalystmillburn and Catalystcifc Floating
Assuming the 90 days horizon Catalystmillburn Hedge Strategy is expected to generate 4.18 times more return on investment than Catalystcifc Floating. However, Catalystmillburn is 4.18 times more volatile than Catalystcifc Floating Rate. It trades about 0.23 of its potential returns per unit of risk. Catalystcifc Floating Rate is currently generating about 0.3 per unit of risk. If you would invest 3,774 in Catalystmillburn Hedge Strategy on September 13, 2024 and sell it today you would earn a total of 238.00 from holding Catalystmillburn Hedge Strategy or generate 6.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Catalystmillburn Hedge Strateg vs. Catalystcifc Floating Rate
Performance |
Timeline |
Catalystmillburn Hedge |
Catalystcifc Floating |
Catalystmillburn and Catalystcifc Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Catalystmillburn and Catalystcifc Floating
The main advantage of trading using opposite Catalystmillburn and Catalystcifc Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Catalystmillburn position performs unexpectedly, Catalystcifc Floating can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Catalystcifc Floating will offset losses from the drop in Catalystcifc Floating's long position.Catalystmillburn vs. Energy Basic Materials | Catalystmillburn vs. Franklin Natural Resources | Catalystmillburn vs. Invesco Energy Fund | Catalystmillburn vs. Gmo Resources |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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